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https://issues.apache.org/jira/browse/SPARK-43789?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-43789:
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Assignee: Hyukjin Kwon
> Uses 'spark.sql.execution.arrow.maxRecordsPerBatch' in R createDataFrame with
> Arrow by default
> ----------------------------------------------------------------------------------------------
>
> Key: SPARK-43789
> URL: https://issues.apache.org/jira/browse/SPARK-43789
> Project: Spark
> Issue Type: New Feature
> Components: SparkR
> Affects Versions: 3.5.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
>
> Now, createDataFrame uses `1` for numPartitions by default, which isn't
> realistic. Should use larger number for default partitions.
> In PySpark, we chunk the input data by
> 'spark.sql.execution.arrow.maxRecordsPerBatch' size. Should better follow
> that in SparkR.
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